Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users.

Prakash, Subash; Unnikrishnan, Vishnu; Pryss, Rüdiger; Kraft, Robin; Schobel, Johannes; Hannemann, Ronny; Langguth, Berthold; Schlee, Winfried; Spiliopoulou, Myra

Prakash, Subash; Unnikrishnan, Vishnu; Pryss, Rüdiger; Kraft, Robin; Schobel, Johannes; Hannemann, Ronny; Langguth, Berthold; Schlee, Winfried; Spiliopoulou, Myra.

Afiliación

Prakash S; Knowledge Management and Discovery Lab, Otto-von-Guericke University, 39106 Magdeburg, Germany.
Unnikrishnan V; Knowledge Management and Discovery Lab, Otto-von-Guericke University, 39106 Magdeburg, Germany.
Pryss R; Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97078 Würzburg, Germany.
Kraft R; Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany.
Schobel J; Institute DigiHealth, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany.
Hannemann R; WSAudiology, Sivantos GmbH, 91058 Erlangen, Germany.
Langguth B; Department of Psychiatry and Psychotherapy, University of Regensburg, 93053 Regensburg, Germany.
Schlee W; Department of Psychiatry and Psychotherapy, University of Regensburg, 93053 Regensburg, Germany.
Spiliopoulou M; Knowledge Management and Discovery Lab, Otto-von-Guericke University, 39106 Magdeburg, Germany.

Entropy (Basel) ; 23(12)2021 Dec 17.

Article en En | MEDLINE | ID: mdl-34946001

Palabras clave

condition prediction; ecological momentary assessment; medical analytics; time series; visual analytics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Alemania

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